Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects evidence of potential data exfiltration activities including the execution of known exfiltration scripts, the use of netcat for unauthorized data transfer to a specific C2 IP, and the presence or access of BloodHound dump files. The rule also monitors for network communication with a known command and control IP address.
Detects unauthorized access to browser-based credential stores (such as Cookies and Login Data for Chrome, Edge, and Firefox) by non-browser processes. This behavior is a common indicator of credential harvesting by infostealer malware, such as Vidar, attempting to exfiltrate session cookies and stored credentials.
Detects unauthorized processes accessing browser credential databases (e.g., Login Data, Cookies, Web Data) associated with Chromium-based browsers on macOS. This behavior is indicative of credential harvesting often performed by infostealers like AMOS (Atomic macOS Stealer).
Detects suspicious processes (e.g., node.exe, chost.exe, python) accessing sensitive credential files and subsequently exfiltrating data to the Telegram Bot API via HTTPS POST requests within a 10-minute window. This behavior is indicative of infostealer malware, such as those observed in the Friday Harvest campaign, harvesting and exfiltrating system data.
Detects unauthorized access to browser data and local credential stores initiated by the 'openclaw' or 'money-radar' malicious agent process trees. The rule monitors for file access events targeting sensitive credential files on Windows and macOS systems, which is characteristic of the ClawHub stealer malware.
Detects the Drun/Chromelevator infostealer bypassing Chrome App-Bound Encryption (introduced in Chrome 127) by spawning vt-windows-event-stream.exe to call Chrome's Elevation Service via COM and decrypt app_bound_encrypted_key from the Local State file. The rule looks for process creation of 'vt-windows-event-stream.exe', registry queries by 'drun.exe' or 'vt-windows-event-stream.exe' related to Chrome installation paths, and file access to Chrome's 'Local State' file by these processes.
Detects process command lines containing references to sensitive Unix system files (/etc/passwd or /etc/shadow) specifically when accessed within or in association with a /troot/ directory path. This pattern is often indicative of an adversary performing reconnaissance or credential dumping.
Detects unauthorized access attempts to sensitive SD-WAN control plane endpoints via REST API or the presence of suspicious 'evil_tenant.csv' artifacts, which may indicate reconnaissance or staging activities.
Detects Python scripts or processes accessing common browser credential and cookie storage files (such as Login Data, key4.db, or cookies.sqlite) and subsequently making outbound network connections, indicating potential theft and exfiltration of browser data.
This rule monitors for suspicious file operations on Cisco vManage, vSmart, and vBond network devices. It detects attempts to delete system logs, unauthorized access or copying of sensitive system files (such as /etc/passwd or /etc/shadow), and the presence of suspicious strings in command lines that may indicate anti-forensic activity or the creation of rogue accounts.
Detects STOCKSTAY .NET backdoor components (e.g., STOCKMARKET, STOCKTRADER) accessing their encrypted 'fonts' configuration files located in the local application data SMN directory. These components use environmental keying (hostname or domain-based) to decrypt the configuration, a technique designed to thwart analysis.
This rule detects potentially malicious activity related to the npm ecosystem. It identifies Node.js processes accessing .npmrc files (which contain authentication tokens) followed by immediate outbound network communication. Additionally, it detects suspicious command-line patterns associated with automated npm publishing (indicative of worm-like propagation) and the presence of npm credentials in the environment or command lines of non-npm processes.
This rule detects when a process other than the legitimate WinSCP application attempts to access WinSCP saved session credentials. This access can occur either by querying the registry key HKCU\Software\Martin Prikryl\WinSCP 2\Sessions or by reading the portable configuration file 'WinSCP.ini'. This activity is suspicious as it indicates an attempt by an unauthorized process to retrieve sensitive connection information, potentially for credential access or lateral movement.
Detects theft of browser session cookies for account takeover
Detects anomalous activity associated with Amazon Q processes, including unauthorized access to SSH agent binaries, attempts to read SSH configuration files or keys in ~/.ssh/, and suspicious outbound network connections over port 22, potentially indicating lateral movement.
This rule detects suspicious activities related to SSH credential theft and lateral movement on Linux systems. It monitors for interactive shells or utilities like cat, python, and bash accessing common SSH configuration files (~/.ssh/id_rsa, authorized_keys, etc.), as well as automated SSH/SCP sessions using suspicious configurations (BatchMode=yes, StrictHostKeyChecking=no) or specific malicious payloads.
Detects a sequence of suspicious activities characteristic of an SSH-based worm. The rule correlates non-standard processes reading SSH private keys, the presence of known cryptominer components (lambsys, procq, isp.sh), and subsequent SSH network fan-out activity from the same host, indicating lateral movement.
Detects the Lambsys cryptominer malware performing SSH credential harvesting by accessing user SSH keys (known_hosts, authorized_keys, id_rsa) with unauthorized processes, staging these files in temporary or hidden directories, and subsequently initiating outbound SSH connections for lateral movement, all correlated by process group ID.
Detects instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories, potentially indicating data exfiltration or staging. This behavior has been observed in supply chain attacks like the 'easy-day-js' incident involving the 'protocal.cjs' backdoor.
This rule detects when the Remcos RAT loader attempts to access browser cache folders (Chrome, Firefox, Opera). This activity is indicative of credential dumping, where the malware tries to extract sensitive information like stored passwords or session tokens from web browsers.
This rule detects shell reconnaissance activities associated with the TeamPCP threat group. Specifically, it looks for commands that parse '/var/log/auth.log' for successful logins or execute 'env | grep AWS_' to find AWS credentials. This behavior is indicative of an attacker attempting to gather authentication information or cloud credentials from a compromised system.
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